Publications of Marco Caballo

Accepted or to appear

Papers in conference proceedings

  1. M. Caballo, J. Teuwen, R. Mann and I. Sechopolous. "Breast parenchyma analysis and classification for breast masses detection using texture feature descriptors and neural networks in dedicated breast CT images", in: Medical Imaging of SPIE. PDF


2018

Papers in international journals

  1. M. Caballo, J.M. Boone, R. Mann and I. Sechopoulos. "An unsupervised automatic segmentation algorithm for breast tissue classification of dedicated breast computed tomography images.", Medical physics 2018;45:2542-2559. Abstract DOI PMID

  2. M. Caballo, C. Fedon, L. Brombal, R. Mann, R. Longo and I. Sechopoulos. "Development of 3D patient-based super-resolution digital breast phantoms using machine learning.", Phys Med Biol. 2018;63. Abstract DOI

  3. M. Caballo, R. Mann and I. Sechopoulos. "Patient-Based 4D Digital Breast Phantom for Perfusion Contrast-Enhanced Breast CT Imaging.", Medical physics 2018;45:4448-4460. Abstract DOI

  4. C. Caresio, M. Caballo, M. Deandrea, R. Garberoglio, A. Mormile, R. Rossetto, P. Limone and F. Molinari. "Quantitative analysis of thyroid tumors vascularity: A comparison between 3-D contrast-enhanced ultrasound and 3-D Power Doppler on benign and malignant thyroid nodules.", Medical physics 2018;45:3173-3184. Abstract DOI PMID

  5. C. Fedon, M. Caballo, R. Longo, A. Trianni and I. Sechopoulos. "Internal breast dosimetry in mammography: Experimental methods and Monte Carlo validation with a monoenergetic x-ray beam.", Medical physics 2018;45:1724-1737. Abstract DOI PMID

  6. C. Fedon, M. Caballo and I. Sechopoulos. "Internal breast dosimetry in mammography: Monte Carlo validation in homogeneous and anthropomorphic breast phantoms with a clinical mammography system.", Medical Physics 2018. Abstract DOI

  7. C. Fedon, C. Rabin, M. Caballo, O. Diaz, E. García, A. Rodríguez-Ruiz, G.A. González-Sprinberg and I. Sechopoulos. "Monte Carlo study on optimal breast voxel resolution for dosimetry estimates in digital breast tomosynthesis.", Physics in medicine and biology 2018;64:015003. Abstract DOI PMID


Papers in conference proceedings

  1. M. Caballo, C. Fedon, L. Brombal, K. Michielsen, R. Longo and I. Sechopolous. "Automatic estimation of glandular tissue loss due to limited reconstruction voxel size in tomographic images of the breast", in: International Workshop on Breast Imaging (IWBI) of SPIE, 2018. DOI